Instructions to use danyayay/qwen2-7b-instruct-trl-sft-ChartQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danyayay/qwen2-7b-instruct-trl-sft-ChartQA with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("danyayay/qwen2-7b-instruct-trl-sft-ChartQA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from danyayay/qwen2-7b-instruct-trl-sft-ChartQA: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/danyayay/qwen2-7b-instruct-trl-sft-ChartQA/resolve/main/tokenizer.json
- Command line
-
hf download hf://danyayay/qwen2-7b-instruct-trl-sft-ChartQA/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/danyayay/qwen2-7b-instruct-trl-sft-ChartQA/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 0445a0526ec126448e88d8026a6717cc4d18276d52938922b723a4f1272087a8
- Size of remote file:
- 11.4 MB
- SHA256:
- 0a6b5459bd4716ef5d73d00b1b9c96e27b74bc718eabb71e5c8e6c36d29f2eff
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